Principles of Wireless Sensor Networks
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Principles of Wireless Sensor Networks https://www.kth.se/social/course/EL2745/ Lecture 13 March 4, 2013 Carlo Fischione Associate Professor of Sensor Networks e-mail: [email protected] http://www.ee.kth.se/~carlofi/ KTH Royal Institute of Technology Stockholm, Sweden
Transcript of Principles of Wireless Sensor Networks
Principles of Wireless Sensor Networks
https://www.kth.se/social/course/EL2745/
Lecture 13 March 4, 2013
Carlo Fischione Associate Professor of Sensor Networks
e-mail: [email protected] http://www.ee.kth.se/~carlofi/
KTH Royal Institute of Technology Stockholm, Sweden
Today’s lecture
§ Exam’s rules
§ Review of the course content by project presentations
1. Wireless channel
2. Physical layer
3. Distributed Detection
4. Distributed Estimation 5. Localization and Positioning
6. Synchronization
7. Wireless Sensor Networked Control Systems 1
8. Wireless Sensor Networked Control Systems 2
§ Future work
Today’s learning outcome
§ What you should remember form the course?
§ How to design WSNs?
§ And also
§ How to get an A to the exam
§ Suggestions for Master thesis projects
§ Suggestions for a career in academia
Systems and Control
Networking Wireless
P
C
Wireless Sensor Networks
Wireless Sensor Networks
WSNs design
Model methematically the protocol behaviour
Select the metrics (energy, delay, reliability)
Optimize (statically or on-line) the protocol parameters
Application requirements A highly efficient WSN
Protocol parameters: radio powers , MAC retransmissions, routing path, control decisions...
The role of mathematical modeling and optimization is central
Exam, March 14-th, 08:00-13:00
• 5 exercises chosen on every part of the course, inspired from the exercises of the compendium and homework
• 5 hours to complete the exam
• Allowed to bring lecture notes, reading material, and handouts, and basic books on math, e.g., Mathematics Handbook by Råde & Westergren
• Not allowed to bring exercise lecture notes
• Not allowed to bring compendium with exercises and solutions
• Results available after 1-2 weeks
Master thesis projects
• Theoretical, practical, or business oriented
• Conduct forefront research
• Possible collaboration with industry
• Interaction with Professors, Research Associates, and PhD students
• You can propose the topic, or ask for a project on
Ø Distributed optimization over WSNs
Ø Distributed detection and estimation
Ø Design of wireless sensor networked control systems
Ø Future wireless networks
Ø Internet of Things
Ø MAC, Routing
Ø Smart grids
Ø Privacy
Ø …
PhD in Electrical Engineering
• For motivated and hard working students with high grades (i.e., talented students), possibility of pursuing a PhD
• Pretty high salary for studying
• International collaborations and travel, UC Berkeley, Stanford University, MIT, Caltech,…
• Competitive
• World-wide job market
• Research (50%), courses (30%), teaching (20%) = fun (100%)
• 4-5 years to earn the PhD
Some success stories…
• Pangun Park, PhD 2011 on WSNs, took my master thesis project • Admitted to the PhD program at KTH EE School in 2007
• Now Research Associate at University of California at Berkeley, Electrical Engineering and Computer Sciences Department, Thrust Center
• Piergiuseppe Di Marco, PhD on WSNs in 2013, took my master thesis project • In 2012 was for 6 months at University of California at Berkeley, Electrical
Engineering and Computer Sciences Department, DOP Center
